Digital images constitute a major part of data in many digital devices and become main information carriers in the digital era. In cyber-crimes the digital images are presented as court evidences. The authenticity of the digital images submitted as court evidence is a big question mark; since these pictures can been altered or modified. In this paper, an approach for Evidence Examination and Analysis in digital device forensics investigation platform is proposed. Here a method for cloning or copy-move forgery detection to be used in device forensic investigations is given. The suspected file obtained as court evidence is analyzed. Byte Frequency Analysis algorithm is used to validate the suspected file in PNG format. Fast Copy Move Forgery Detection algorithm is used for cloning detection. Finally, the detection result provides information that the digital image is altered or not.